Nonprofit Remote Volunteer Tracking

This dataset provides detailed tracking of remote volunteer activities for nonprofits, including hours logged, activity types, digital tool usage, and outcome metrics. It enables organizations to analyze engagement trends, assess operational impact, manage compliance, and optimize remote workforce effectiveness for digital transformation initiatives.

  • last updated 12 Jan 2026
  • by GoMask
The brief that made it

Volunteer engagement analysis and reporting

Sample rows

preview · 8 of 60 rows · all 17 columns
volunteer_idstringactivity_typestringoutcome_valuefloatsupervisor_namestringvolunteer_namestringvolunteer_emailstringvolunteer_phonestringvolunteer_countrystringactivity_idstringactivity_datedatehours_loggedfloatdigital_tool_usedstringoutcome_metricstringcompliance_checkbooleansupervisor_idstringfeedbackstringactivity_descriptionstring
V001outreach50Carlos RiveraAlice Petersonalice.peterson1@volunteer.org+1-202-555-0187United StatesA10012024-02-182.5Facebook Messengerpeople reachedtrueS301Great engagement and positive feedback from participants.Conducted online outreach to local community members via social media.
V002fundraising525Fatima NoorBrianne Leebrianne.lee@volunteer.org+44 7911 123456United KingdomA10022024-02-193Zoomfunds raisedtrueS302Handled donor queries well.Assisted with virtual fundraising event setup and donor communications.
V003administration35Priya SharmaChun Wangchun.wang@volunteer.org+86 139 8888 1234ChinaA10032024-03-021.5Google Sheetsrecords updatedtrueS303Ensured accuracy in data entry.Updated volunteer records in the digital database.
V004training10Markus WeberDaniela Rossidaniela.rossi@volunteer.org+39 320 1234567ItalyA10042024-03-052Teamsvolunteers trainedtrueS304Interactive session, clear instructions.Led online training for new volunteers.
V005mentoring1Carlos RiveraEthan Brownethan.brown@volunteer.org+1 415-555-0192United StatesA10052024-03-061Slacksessions heldtrueS301Good feedback from mentee.Provided mentoring to junior volunteer remotely.
V006other2Daniela RossiFatima Noorfatima.noor@volunteer.org+92 300 1234567PakistanA10062024-03-071.8Google Docsdocuments translatedtrueS305Accurate translation and quick turnaround.Translated outreach materials for local language.
V007outreach25Carlos RiveraGabriel Mendezgabriel.mendez@volunteer.org+52 55 1234 5678MexicoA10072024-03-101.2Outlookemails senttrueS301Prompt communication.Sent follow-up emails to event attendees.
V008fundraising700Fatima NoorHiroko Tanakahiroko.tanaka@volunteer.org+81 90 1234 5678JapanA10082024-03-122.7PayPalfunds raisedtrueS302Efficient portal management.Managed online donation portal.

What the 60 rows show

from the 60-row sample

Fundraising (activity type) stands out: mean outcome_value is 776.1, against 13.0 for the rest.

  • 9.0median outcome_value
  • 2.0median hours_logged
Mean outcome_value by activity_type54 rows
040080032.4outre…11 rows776.1fundr…10 rows13.8admin…5 rows9.8train…10 rows3.1mento…10 rows2.3other8 rows
outcome_value54 rows, in bands of 200
0255044132111108001,600outcome_value →

Median 9.0, from 1.0 to 1,550.

supervisor_name60 rows · top 10 of 30 values
  1. Carlos Rivera6
  2. Fatima Noor5
  3. Priya Sharma5
  4. Markus Weber5
  5. Daniela Rossi5
  6. Hiroko Tanaka4
  7. Amit Desai2
  8. Clara Bonnet2
  9. María Sánchez2
  10. Mohamed Salah2
17 columns by typefrom the column list below
  • string 13
  • float 2
  • date 1
  • boolean 1

Columns

17 columns in four groups
blueprint · 17 columns
columntypedescriptionexample
Text 13 columns
volunteer_idstringUnique identifier for each volunteeruniqueV001
volunteer_namestringFull name of the volunteerAlice Peterson
volunteer_emailstringEmail address of the volunteeruniquechun.wang@volunteer.org
volunteer_phonestringPhone number of the volunteeroptional+1-202-555-0187
volunteer_countrystringCountry of residence for the volunteeroptionalUnited States
activity_idstringUnique identifier for each volunteer activity recorduniqueA1001
activity_typestringType of activity performed (e.g., outreach, fundraising, admin)6 valuesoutreach
activity_descriptionstringDetailed description of the volunteer activityoptionalConducted online outreach…
digital_tool_usedstringPrimary digital tool or platform used during the activity (e.g., Zoom, Slack, Google Docs)optionalFacebook Messenger
outcome_metricstringKey outcome metric achieved (e.g., number of people reached, funds raised)optionalpeople reached
supervisor_idstringUnique identifier for the supervisor overseeing the activityoptionalS301
supervisor_namestringName of the supervisor overseeing the activityoptionalCarlos Rivera
feedbackstringOptional feedback or notes from the volunteer or supervisoroptionalPrompt communication.
Numbers 2 columns
hours_loggedfloatNumber of hours volunteered for the activity0 or more2.5
outcome_valuefloatNumeric value of the outcome metric (e.g., 100 people reached, $500 raised)0 or more · optional50
Dates and times 1 column
activity_datedateDate when the volunteer activity took place2024-02-18
True or false 1 column
compliance_checkbooleanIndicates if the activity met compliance requirementstrue

Use it for

  • median outcome…9.054 rowsmean outcome value by…32.4outr…776.1fund…13.8admi…9.8trai…

    A human resources dashboard

    Outcome_value by activity_type and a breakdown of supervisor_name. Excel, Power BI or Tableau.

  • Why do the 10 fundraising rows have a mean outcome_value of 776.1?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable volunteers with volunteer_name, volunteer_email and volunteer_phone to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 17 columns, your size and your rules. See 20 rows before you pay.

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This dataset60 rows17 columns
Yours1,000 rows17 columnsvolunteer_country: UK only

blueprint · nonprofit-remote-volunteer-tracking

Behind this dataset

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each row represents one volunteer engagement session.
  • Hours logged must be between 0.5 and 10 per session.
  • Activity types include outreach, admin work, fundraising, support, or training.
  • Digital tool usage is tracked as binary (yes/no) per session.
  • Impact rating (1-5) is assigned by staff supervisor.
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
nonprofit-remote-volunteer-tracking

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